| User | tplummer |
| Upload Date | September 17 2025 05:52 AM |
| Views | 25 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2699 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8420
1.57 KIPS |
|
|
Image Classification (HP)
|
99% |
11163
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7492
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15872
257.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19287
312.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14625
237.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
176911
206.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
401236
468.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
159554
186.9 IPS |
|
|
Object Detection (SP)
|
100% |
10268
814.4 IPS |
|
|
Object Detection (HP)
|
100% |
13425
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
9259
744.8 IPS |
|
|
Face Detection (SP)
|
100% |
29125
346.1 IPS |
|
|
Face Detection (HP)
|
100% |
35755
424.8 IPS |
|
|
Face Detection (Q)
|
97% |
26003
310.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
64571
497.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102737
793.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
51983
415.6 IPS |
|
|
Style Transfer (SP)
|
100% |
297938
383.0 IPS |
|
|
Style Transfer (HP)
|
100% |
595858
766.0 IPS |
|
|
Style Transfer (Q)
|
98% |
265786
342.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36014
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43253
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28838
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2678
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2207
41.4 IPS |